Complexity, Robustness, System Thermodynamics, and Optimality in Large Scale Network Aerospace Defense Systems

Abstract

Controls research under this program concentrated on the development of a unified stochastic dynamical systems framework for nonlinear networks. In particular, control algorithms were developed to address agent interactions, cooperative and non-cooperative control, task assignments, resource allocations, and system optimality. To realize these tasks, appropriate sensory and cogitative capabilities such as adaptation, learning, decision-making, and agreement (or consensus) on the agent and multiagent levels were developed. Application areas included spacecraft stabilization, cooperative control of unmanned air vehicles, network systems, and swarms of air and space vehicle formations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 06, 2019
Accession Number
AD1103116

Entities

People

  • Wassim M. Haddad

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Autonomous Vehicles
  • Closed Loop Systems
  • Computations
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Cooperative Control
  • Information Systems
  • Markov Processes
  • Multiagent Systems
  • Nonlinear Systems
  • Spacecraft
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Technical Research and Report Writing.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers